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| Multipoint Monitoring Model on Road Foundation Settlement Considering Heaping Pre-compaction Effect |
| HUANG Ming-1, LIU Jun-2 |
| (1.School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei 230009, China;2.School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University, Shanghai 200240, China) |
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Abstract To analyze and forecast road foundation settlement caused by heaping pre-compaction, the relationship between settlement and heaping process were studied according to the hereditycreep theory. Radial basis function (RBF) artificial neural network was used to establish a monitoring model. In the model, the input units aim at heaping settlement and the output units including multipoint settlement are formed based on surveyed settlement insite and heaping recordation. Moreover, a pre-select RBF center method was presented considering heaping settlement character. It works with fuzzy C-means algorithm (FCM) together to decide final centers. Model instance established in above way with monitoring data describes the heaping effect well, and with good training and forecast results.
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Received: 04 November 2010
Published: 30 May 2011
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